Open-source software for bioimage analysis and digital pathology
QuPath is the open-source standard for whole-slide digital pathology and quantitative microscopy, offering deep learning cell detection, tissue classification, and multiplexed biomarker quantification.
High-performance whole-slide image viewing and annotation across gigapixel filesMachine learning tissue classification (tumor vs stroma vs necrosis)Integration with StarDist and Cellpose for deep learning cell and nuclear segmentationExtensive scripting API in Groovy and Python for automated cohort analysis
QuPath is the open-source standard for whole-slide digital pathology and quantitative microscopy, offering deep learning cell detection, tissue classification, and multiplexed biomarker quantification.
Información cotejada con una fuente oficial; no es un ensayo experimental directo. Fuente · Última revisión: 20/09/2026, 11:09:40 UTC
Características principales
High-performance whole-slide image viewing and annotation across gigapixel files
Machine learning tissue classification (tumor vs stroma vs necrosis)
Integration with StarDist and Cellpose for deep learning cell and nuclear segmentation
Extensive scripting API in Groovy and Python for automated cohort analysis
Interactive 3D Illustration
Biological Architecture (Stylized Ribbon)
Default view is a stylized demonstration ribbon. Enter any 4-letter RCSB PDB accession code above to stream real atomic coordinates.
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Illustrative Confidence Gradient:
>90 High / Low B 70-90 Confident 50-70 Low <50 Very low / High B
Academic Context & Research Evidence
Biological & Workflow Fit
Biological Application
Oncology biomarker quantification, spatial histology analysis, and clinical trials
Use this citation format when referencing QuPath in scientific publications and benchmark papers.
@software{qupath_2026,
title = {{QuPath}},
author = {{University of Edinburgh}},
year = {2026},
url = {https://qupath.github.io},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}
Peer-Reviewed Literature & Preprints
Live scientific citations queried from Europe PMC and PubMed for QuPath.
⏳ Querying Europe PMC & PubMed for indexed publications...
Información técnica y del producto
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
Entry typeOpen Source Software
Access modeOpen Source
AI roleDeep Learning Image Segmentation
Input dataNot recorded
Output dataNot recorded
Licence conditionsGPL-3.0
Commercial eligibilityPermissive open source release
Compute requirementsStandard desktop / workstation (multi-core CPU, optional GPU for deep learning)
ValidationNot recorded
TypeDigital pathology bioimage analysis platform
Intended useNot recorded
CompatibilityNot recorded
ManufacturerUniversity of Edinburgh (Bankhead Lab)
Biological applicationOncology biomarker quantification, spatial histology analysis, and clinical trials